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The MIT Critical Data, Institute for Medical Engineering and Science, MIT Institute Community and Equity Office, and Priscilla King Gray (PKG) Public Service Center’s AI, Health Equity, and Ethics Symposium explores the theme of epistemic humility, cultural humility, and diverse perspectives, alongside meaningful community involvement, to transform the way we think, learn, and collaborate to prevent AI from perpetuating existing disparities. Opening with a keynote by Dr. Tereza Hendl, a philosopher and bioethicist, the event explores broad ethical frameworks and specific challenges, such as the limitations of AI and bias. Workshops will focus on bias mitigation strategies co-designed with marginalized communities, emphasizing participatory action research to democratize innovation and promote just healthcare outcomes. By centering community expertise and lived experiences, the symposium encourages a reimagining of AI’s role in healthcare—ensuring that technological advances work to reduce, not reinforce, disparities.
